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Submodular set function
Known as:
Submodular
, Submodular function
In mathematics, a submodular set function (also known as a submodular function) is a set function whose value, informally, has the property that the…
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Active learning (machine learning)
Alexander Schrijver
Artificial intelligence
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Broader (1)
Combinatorial optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Model Based Impact Analysis and Security Measure Allocation for Control Systems
Jezdimir Milošević
2018
Corpus ID: 64736927
Improvement of cyber-security of industrial control systems is of utmost importance for our society. It has been recognized that…
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2016
2016
Flowing with the water: On optimal monitoring of water distribution networks by mobile sensors
Rong Du
,
C. Fischione
,
Ming Xiao
IEEE INFOCOM - The 35th Annual IEEE…
2016
Corpus ID: 2537829
Contamination in drinkable water distribution networks can be potentially monitored by new and agile mobile sensor networks…
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2016
2016
Bounds on Public Communication Needed to Achieve SK Capacity in the Hypergraphical Source Model
Manuj Mukherjee
,
Chung Chan
,
Navin Kashyap
,
Qiaoqiao Zhou
2016
Corpus ID: 16229263
—In the multiterminal source model of Csisz´ar and Narayan, the communication complexity, R SK , for secret key (SK) generation…
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2015
2015
Efficient Algorithms to Optimize Diffusion Processes under the Independent Cascade Model
Xiaojian Wu
,
D. Sheldon
,
S. Zilberstein
2015
Corpus ID: 11442185
We study scalable algorithms to optimize diffusion processes under the Independent Cascade model. We consider a broad class of…
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2013
2013
Efficient Regularization of Squared Curvature
C. Nieuwenhuis
,
Eno Töppe
,
Lena Gorelick
,
Olga Veksler
,
Yuri Boykov
arXiv.org
2013
Corpus ID: 9810834
Curvature has received increased attention as an important alternative to length based regularization in computer vision. In…
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2011
2011
A Fast Solver for Truncated-Convex Priors: Quantized-Convex Split Moves
Anna Jezierska
,
Hugues Talbot
,
Olga Veksler
,
Daniel Wȩsierski
Energy Minimization Methods in Computer Vision…
2011
Corpus ID: 15034997
This paper addresses the problem of minimizing multilabel energies with truncated convex priors. Such priors are known to be…
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2008
2008
LP-relaxation of Binarized Energy Minimization ( Version 1 . 50 )
A. Shekhovtsov
,
V. Kolmogorov
,
Pushmeet Kohli
,
C. Rother
,
Philip H. S. Torr
2008
Corpus ID: 15877184
We address the problem of energy minimization, which is (1) generally NP-complete and (2) involves many discrete variables…
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2007
2007
Minimization of locally-de(cid:12)ned submodular functions by optimal soft arc consistency
Martin C. Cooper
2007
Corpus ID: 16551897
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose…
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1998
1998
Submodular Returns and Greedy Heuristics for Queueing Scheduling Problems
R. Garbe
,
K. Glazebrook
Operational Research
1998
Corpus ID: 27387936
We consider a range of controlled stochastic systems satisfying conservation laws together with a reducibility property that says…
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1987
1987
Submodular Set Functions and Monotone Systems in Aggregation Problems. I
I. Muchnik
,
L. V. Shavartser
1987
Corpus ID: 16388166
I. B. Muchnik and L. V. Shavartser UDC 62-506.1 A relationship from Part I between submodular functions and functions determining…
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